[1] TRUE
[1] 3.32
[1] 4.03
[1] 3.68
mean of x 
    -0.31 
mean of x 
     0.23 
mean of x 
    -0.49 
mean of x 
     0.05 
mean of x 
     -0.4 
mean of x 
     0.14 
# weights:  42 (30 variable)
initial  value 4613.780633 
iter  10 value 3739.159734
iter  20 value 3679.696480
iter  30 value 3672.367751
final  value 3671.960129 
converged
            [,1]         [,2]       [,3]
[1,] -0.06215717 -0.001087082 0.05569355
           [,1]      [,2]      [,3]
[1,] 0.05205428 0.1148878 0.1838964
          [,1]      [,2]      [,3]
[1,] 0.7237616 0.7647215 0.8015086
          [,1]      [,2]      [,3]
[1,] 0.3953016 0.4438287 0.4918023
           [,1]       [,2]       [,3]
[1,] -0.2549276 -0.1963489 -0.1351684
           [,1]        [,2]        [,3]
[1,] -0.1461616 -0.08550679 -0.01965323
           [,1]       [,2]       [,3]
[1,] -0.2579728 -0.1948093 -0.1300553
           [,1]       [,2]       [,3]
[1,] -0.2643759 -0.2009749 -0.1359283
null device 
          1 
[1] -0.1975041 -0.1588968 -0.1205738
null device 
          1 
    
       0   1
  1  135   0
  2   11   0
  3  104   0
  4  898   0
  5  227   0
  6    0  61
  7    0 324
  8    0  82
  9    0 232
  10   0 375
  11   0  63
  12  63   0
      
         0   1
  1      0 229
  2      0 907
  3    748   0
  4    376   0
  5     91   0
  <NA> 224   0

Call:
lm(formula = rating ~ (treatment + control) * as.factor(highqualified), 
    data = df)

Residuals:
    Min      1Q  Median      3Q     Max 
-2.8945 -0.7599  0.1803  0.6931  2.7576 

Coefficients:
                                    Estimate Std. Error t value Pr(>|t|)    
(Intercept)                          3.57606    0.04901  72.959  < 2e-16 ***
treatment                           -0.26920    0.07031  -3.828 0.000132 ***
control                              0.18385    0.06982   2.633 0.008511 ** 
as.factor(highqualified)1            0.24361    0.07509   3.244 0.001193 ** 
treatment:as.factor(highqualified)1 -0.30813    0.10584  -2.911 0.003630 ** 
control:as.factor(highqualified)1   -0.10906    0.10600  -1.029 0.303626    
---
Signif. codes:  0 �***� 0.001 �**� 0.01 �*� 0.05 �.� 0.1 � � 1

Residual standard error: 1.088 on 2569 degrees of freedom
Multiple R-squared:  0.0479,	Adjusted R-squared:  0.04605 
F-statistic: 25.85 on 5 and 2569 DF,  p-value: < 2.2e-16


Call:
lm(formula = rating ~ (treatment + control) * as.factor(globalwinner), 
    data = df)

Residuals:
    Min      1Q  Median      3Q     Max 
-2.9206 -0.7373  0.2604  0.6260  2.8013 

Coefficients:
                                   Estimate Std. Error t value Pr(>|t|)    
(Intercept)                         3.63580    0.04938  73.630  < 2e-16 ***
treatment                          -0.43707    0.07031  -6.216 5.92e-10 ***
control                             0.10378    0.07005   1.482    0.139    
as.factor(globalwinner)1            0.10146    0.07494   1.354    0.176    
treatment:as.factor(globalwinner)1  0.07383    0.10582   0.698    0.485    
control:as.factor(globalwinner)1    0.07959    0.10592   0.751    0.452    
---
Signif. codes:  0 �***� 0.001 �**� 0.01 �*� 0.05 �.� 0.1 � � 1

Residual standard error: 1.089 on 2569 degrees of freedom
Multiple R-squared:  0.04741,	Adjusted R-squared:  0.04556 
F-statistic: 25.57 on 5 and 2569 DF,  p-value: < 2.2e-16

 treatment  treatment  treatment 
-0.3632394 -0.5182526 -0.2082262 
treatment 
 -4.59283 
   control    control    control 
0.18336951 0.02765162 0.33908739 
 control 
2.308047 
 treatment  treatment  treatment 
-0.5773252 -0.7323706 -0.4222798 
treatment 
-7.298233 
    control     control     control 
 0.07478697 -0.08153709  0.23111104 
